Optimizing Conversions and Scaling Traffic with Mansour Norouzi In this episode of Seller Sessions, Danny McMillan interviews Mansour Norouzi, ecommerce expert and director of advertising and partner of Incremental Digital, about optimizing conversions and scaling traffic on Amazon. Key Takeaways Conversion and traffic are the two main factors of the
Introduction Autocomplete, also known as query auto-completion (QAC), is an essential feature in e-commerce platforms and search engines, and Amazon is no exception. It provides users with suggested search terms and queries based on the characters they have typed so far. Autocomplete enhances the search experience by helping users articulate
A9 Bot – How To Get The Most Out Of Your Listing Optimisation In this informative episode of Seller Sessions, host Danny McMillan gives listeners an inside look at the A9 Bot available exclusively through his website. This specialised bot aims to help sellers better grasp Amazon’s ever-evolving A9 ranking
Ranking and Product Launches on Amazon With Colin Raja Introduction: Danny interviews e-commerce expert Colin Raja, an experienced Amazon seller from India now based in New York. Colin shares his proven pre-launch strategies for optimising product listings and rankings on Amazon. Key Topics Covered: Importance of getting product type, browse
Recapping 2023 in the Amazon seller world – major trends and pain points Personal and business challenges faced in 2023 – including health issues, family emergencies, and day to day struggles Reflecting on importance of family, health, and relationships over business and material success Maintaining perspective and finding meaning
Introduction: In this episode of Seller Sessions, hosts Danny and Adam have an insightful discussion about shifts they are seeing in how Amazon ranks products in search, and what this means for sellers going forward. They talk about moving beyond a primary focus on keywords to a more holistic
AMC is a cloud-based database that gathers signals from all over Amazon to provide insights into customer behavior. It still requires technical expertise like SQL to maximize its potential. Since the last episode, AMC has expanded the data it provides beyond just sponsored ads. It now includes things like TV
Researchers have developed a new technique to help computers automatically understand product photos from the likes of Amazon.com. This saves time from manually labelling product details like brand, size, colour for every item. The goal is getting computers to extract attributes from all types of product photos. Here are a
The Problem Many online shopping sites allow customers to ask questions about products, which other customers then answer based on their experiences. This helps shoppers make informed decisions. However, new or uncommon products often have few or no answered questions. The Proposed Solution To address this problem, researchers propose an
How Amazon’s A9 Search Engine Stacks Up Against Google and Bing Search engines like Google, Bing, and Amazon’s A9 utilise the internet to provide relevant information. Under the hood, their technologies are more similar than different despite being made by competing companies. This article examines how Amazon’s search engine A9
Introduction Pricing consistency across different sizes of the same product is critical for customer experience and perception of value. However, maintaining rational price ladders (Pricing ladders relate to prices across different sizes) for size variants is challenging with large product catalogs and dynamic pricing. This paper studies techniques to measure
8 Figure Amazon Seller Mels Terlouw Goes Deep On Data Introduction Danny McMillan welcomes Mels Terlouw, an Amazon seller from the Netherlands, to the podcast for his first time on Seller Sessions. About Mels Mels started selling on Amazon in 2014 after discovering people selling $100k per month. He set
The premium priced product conundrum. Shopping online is now the norm for many people. Without the ability to physically examine products, online shoppers rely heavily on product information provided by sellers and other customers to evaluate quality. But how do people really perceive product quality online? What information do they
Searching for new and relevant products online often leads to frustrating, irrelevant results. This “cold start” problem has persistently challenged e-commerce companies for years. However, significant progress has been made between 2016 and 2021 in developing solutions to overcome this issue. This in-depth article traces the key milestones researchers have
A study reveals how Amazon’s A9 search algorithm can be enhanced to better connect shoppers with relevant seasonal products. By optimizing listings for seasonal search patterns, sellers stand to significantly boost visibility and sales of seasonal goods on Amazon. The Problem On Amazon, shoppers use the same search queries year-round,
